Triple

T1852149
Position Surface form Disambiguated ID Type / Status
Subject Jacques Ignace Hittorff E41618 entity
Predicate employer P7 FINISHED
Object City of Paris E568 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: City of Paris | Statement: [Jacques Ignace Hittorff, employer, City of Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Paris
Context triple: [Jacques Ignace Hittorff, employer, City of Paris]
  • A. Paris chosen
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • B. Paris
    Paris is a prince of Troy in Greek mythology, best known for judging the beauty contest of the goddesses and for abducting Helen, which sparked the Trojan War.
  • C. Cité
    Cité is a Paris Métro station located on the Île de la Cité in the historic center of Paris.
  • D. Metropolis of France
    The Metropolis of France is an ecclesiastical jurisdiction of the Ecumenical Patriarchate of Constantinople overseeing Greek Orthodox parishes and institutions throughout France.
  • E. La Ville Rose
    La Ville Rose is the affectionate nickname for the French city of Toulouse, referencing its distinctive pink-hued brick architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb06999f4819086386aafb789a368 completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fc7f4988190931e58d2f95b9049 completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:33 p.m.